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- August 2021
- Article
Rate-Amplifying Demand and the Excess Sensitivity of Long-Term Rates
By: Samuel G. Hanson, David O. Lucca and Jonathan H. Wright
Long-term nominal interest rates are surprisingly sensitive to high-frequency (daily or monthly) movements in short-term rates. Since 2000, this high-frequency sensitivity has grown even stronger in U.S. data. By contrast, the association between low-frequency changes... View Details
Hanson, Samuel G., David O. Lucca, and Jonathan H. Wright. "Rate-Amplifying Demand and the Excess Sensitivity of Long-Term Rates." Quarterly Journal of Economics 136, no. 3 (August 2021): 1719–1781.
- November 2011 (Revised August 2012)
- Background Note
Customer Discovery and Validation for Entrepreneurs
By: Frank V. Cespedes, Thomas Eisenmann and Steven G. Blank
Provides practical guidelines for conducting market research to explore and validate demand for entrepreneurial offering. Explains how the research objectives of entrepreneurs might differ from those relevant to managers evaluating product or service offerings to... View Details
Cespedes, Frank V., Thomas Eisenmann, and Steven G. Blank. "Customer Discovery and Validation for Entrepreneurs." Harvard Business School Background Note 812-097, November 2011. (Revised August 2012.)
- 2024
- Working Paper
The Value of Silence: The Effect of UMG’s Licensing Dispute with TikTok on Music Demand
By: Mengjie (Magie) Cheng, Elie Ofek and Hema Yoganarasimhan
Social media platforms like TikTok have transformed how music is discovered, consumed, and
monetized. This study examines the implications of the dispute between TikTok and Universal Music
Group (UMG), which resulted in UMG excluding its music from TikTok from... View Details
Keywords: Demand And Consumers; Monetization; Social Media; Revenue; Conflict and Resolution; Music Industry
Cheng, Mengjie (Magie), Elie Ofek, and Hema Yoganarasimhan. "The Value of Silence: The Effect of UMG’s Licensing Dispute with TikTok on Music Demand." Harvard Business School Working Paper, No. 25-014, July 2024. (Revised October 2024.)
- January 2019 (Revised July 2021)
- Case
Analytical Space: The Next Frontier?
By: Thomas R. Eisenmann, Jeffrey J. Bussgang and David Lane
With one satellite aloft and in the midst of beta testing in late 2018, Analytical Space founders Justin Oliveira and Dan Nevius turned to critical questions about the pioneering startup’s go-to-market, pricing, and business development strategy. Analytical Space aimed... View Details
Keywords: Pricing Decisions; Demand Validation; Revenue Model; Business Development; Space Tech; Satellites; Earth Observation; Remote Sensing; Business Startups; Emerging Markets; Growth and Development Strategy; Finance; Selection and Staffing; Business Strategy; Aerospace Industry
Eisenmann, Thomas R., Jeffrey J. Bussgang, and David Lane. "Analytical Space: The Next Frontier?" Harvard Business School Case 819-089, January 2019. (Revised July 2021.)
- Forthcoming
- Article
Who Benefits from Online Gig Economy Platforms?
By: Christopher T. Stanton and Catherine Thomas
Online labor platforms for short-term, remote work have many more job seekers than available jobs. Despite their relative abundance, workers capture a substantial share of the surplus from transactions. We draw this conclusion from demand estimates that imply workers'... View Details
Keywords: Gig Economy; Knowledge Workers; Online Platforms; Job Search; Governing Rules, Regulations, and Reforms; Wages; Demand and Consumers
Stanton, Christopher T., and Catherine Thomas. "Who Benefits from Online Gig Economy Platforms?" American Economic Review (forthcoming).
- November 2011 (Revised August 2012)
- Background Note
Customer Visits for Entrepreneurs
Provides practical guidelines for conducting customer visits to explore and validate demand for an entrepreneurial offering. Reviews conditions under which visits will yield superior insights, compared to other research methods. Describes criteria for selecting visit... View Details
Cespedes, Frank V. "Customer Visits for Entrepreneurs." Harvard Business School Background Note 812-098, November 2011. (Revised August 2012.)
- October 2023 (Revised March 2024)
- Case
Fortinet: Cybersecurity Pioneer Ken Xie Considers the Long Game
By: Tsedal Neeley, Jeff Huizinga and Emily Grandjean
Ken Xie, cofounder of cybersecurity giant Fortinet, faced a critical decision that would validate his leadership. Fortinet became the industry’s second-largest pureplay cybersecurity firm by developing differentiated hardware and investing in R&D. However, after a... View Details
Keywords: Leadership Development; Leadership Style; Marketing Strategy; Communication Strategy; Cybersecurity; Competitive Advantage; Information Technology Industry; United States; Sunnyvale
Neeley, Tsedal, Jeff Huizinga, and Emily Grandjean. "Fortinet: Cybersecurity Pioneer Ken Xie Considers the Long Game." Harvard Business School Case 424-016, October 2023. (Revised March 2024.)
- Working Paper
Visual Uniqueness in Peer-to-Peer Marketplaces: Machine Learning Model Development, Validation, and Application
By: Flora Feng, Charis Li and Shunyuan Zhang
Peer-to-peer (P2P) marketplaces have seen exponential growth in recent years featured by unique offerings from individual providers. Despite the perceived value of uniqueness, scalable quantification of visual uniqueness in P2P platforms like Airbnb has been largely... View Details
Keywords: Peer-to-peer Markets; Marketplace Matching; AI and Machine Learning; Demand and Consumers; Digital Platforms; Marketing
Feng, Flora, Charis Li, and Shunyuan Zhang. "Visual Uniqueness in Peer-to-Peer Marketplaces: Machine Learning Model Development, Validation, and Application." SSRN Working Paper Series, No. 4665286, February 2024.
- 06 Sep 2006
- Working Paper Summaries
Cross Functional Alignment in Supply Chain Planning: A Case Study of Sales & Operations Planning
Keywords: by Rogelio Oliva & Noel Watson
- March 2020
- Article
Diagnosing Missing Always at Random in Multivariate Data
By: Iavor I. Bojinov, Natesh S. Pillai and Donald B. Rubin
Models for analyzing multivariate data sets with missing values require strong, often assessable, assumptions. The most common of these is that the mechanism that created the missing data is ignorable—a twofold assumption dependent on the mode of inference. The first... View Details
Keywords: Missing Data; Diagnostic Tools; Sensitivity Analysis; Hypothesis Testing; Missing At Random; Row Exchangeability; Analytics and Data Science; Mathematical Methods
Bojinov, Iavor I., Natesh S. Pillai, and Donald B. Rubin. "Diagnosing Missing Always at Random in Multivariate Data." Biometrika 107, no. 1 (March 2020): 246–253.
- Article
Real Effects of Relational Contracts
By: Steven Blader, Claudine Gartenberg, Rebecca Henderson and Andrea Pratt
How important are factors such as "firm culture" and "employee engagement" in driving firm performance? Increasing evidence from a wide range of fields suggests that productivity differs widely across firms, even after the inclusion of careful controls for factors such... View Details
Blader, Steven, Claudine Gartenberg, Rebecca Henderson, and Andrea Pratt. "Real Effects of Relational Contracts." American Economic Review: Papers and Proceedings 105, no. 5 (May 2015): 452–456.
- October 2021
- Article
Overcoming the Cold Start Problem of CRM Using a Probabilistic Machine Learning Approach
By: Nicolas Padilla and Eva Ascarza
The success of Customer Relationship Management (CRM) programs ultimately depends on the firm's ability to understand consumers' preferences and precisely capture how these preferences may differ across customers. Only by understanding customer heterogeneity, firms can... View Details
Keywords: Customer Management; Targeting; Deep Exponential Families; Probabilistic Machine Learning; Cold Start Problem; Customer Relationship Management; Programs; Consumer Behavior; Analysis
Padilla, Nicolas, and Eva Ascarza. "Overcoming the Cold Start Problem of CRM Using a Probabilistic Machine Learning Approach." Journal of Marketing Research (JMR) 58, no. 5 (October 2021): 981–1006.
- 2020
- Working Paper
Overcoming the Cold Start Problem of CRM Using a Probabilistic Machine Learning Approach
By: Eva Ascarza
The success of Customer Relationship Management (CRM) programs ultimately depends on the firm's ability to understand consumers' preferences and precisely capture how these preferences may differ across customers. Only by understanding customer heterogeneity, firms can... View Details
Keywords: Customer Management; Targeting; Deep Exponential Families; Probabilistic Machine Learning; Cold Start Problem; Customer Relationship Management; Customer Value and Value Chain; Consumer Behavior; Analytics and Data Science; Mathematical Methods; Retail Industry
Padilla, Nicolas, and Eva Ascarza. "Overcoming the Cold Start Problem of CRM Using a Probabilistic Machine Learning Approach." Harvard Business School Working Paper, No. 19-091, February 2019. (Revised May 2020. Accepted at the Journal of Marketing Research.)
- March 2013
- Case
An Entrepreneur's New Product Development Journey
By: Elie Ofek
This case tracks the new product development process undertaken by Gauri Nanda, the founder and CEO of Nanda Home, as she ventures to innovate beyond her initial product launches. Having achieved commercial success with her first product Clocky, a roll away alarm clock... View Details
Keywords: Entrepreneurship; Decision Making; Product Development; Manufacturing Industry; Consumer Products Industry
Ofek, Elie. "An Entrepreneur's New Product Development Journey." Harvard Business School Case 513-098, March 2013.
- 2023
- Working Paper
Design-Based Confidence Sequences: A General Approach to Risk Mitigation in Online Experimentation
By: Dae Woong Ham, Michael Lindon, Martin Tingley and Iavor Bojinov
Randomized experiments have become the standard method for companies to evaluate the performance of new products or services. In addition to augmenting managers’ decision-making, experimentation mitigates risk by limiting the proportion of customers exposed to... View Details
Keywords: Performance Evaluation; Research and Development; Analytics and Data Science; Consumer Behavior
Ham, Dae Woong, Michael Lindon, Martin Tingley, and Iavor Bojinov. "Design-Based Confidence Sequences: A General Approach to Risk Mitigation in Online Experimentation." Harvard Business School Working Paper, No. 23-070, May 2023.
- Article
Integration of Online and Offline Channels in Retail: The Impact of Sharing Reliable Inventory Availability Information
By: Santiago Gallino and Antonio Moreno
Using a proprietary data set, we analyze the impact of the implementation of a “buy-online, pick-up-in-store” (BOPS) project. The implementation of this project is associated with a reduction in online sales and an increase in store sales and traffic. These results can... View Details
Keywords: Retail Operations; Inventory Availability; Empirical Operations Management; Business Analytics; Online Retail; Ecommerce; Operations; Management; Distribution Channels; Consumer Behavior; E-commerce; Retail Industry
Gallino, Santiago, and Antonio Moreno. "Integration of Online and Offline Channels in Retail: The Impact of Sharing Reliable Inventory Availability Information." Management Science 60, no. 6 (June 2014): 1434–1451. (Finalist of Management Science Best Paper award in Operations Management.)
- 12 Mar 2024
- Research & Ideas
Publish or Perish: What the Research Says About Productivity in Academia
demands on their time, funding, salaries, and other socio-demographic and household-related factors. They found that professors’ responsibilities and the time they are able to devote to research vary depending on their position, a... View Details
- 21 Feb 2012
- First Look
First Look: Feb. 21
information is a central determinant of a firm's demand function, even for purchases as large as college attendance. When Do User Innovators Start Firms? A Theory of User Entrepreneurship Authors:Sonali Shah and Mary Tripsas... View Details
Keywords: Sean Silverthorne
- July–August 2013
- Article
A Joint Model of Usage and Churn in Contractual Settings
By: Eva Ascarza and Bruce G.S. Hardie
As firms become more customer-centric, concepts such as customer equity come to the fore. Any serious attempt to quantify customer equity requires modeling techniques that can provide accurate multiperiod forecasts of customer behavior. Although a number of researchers... View Details
Keywords: Churn; Retention; Contractual Settings; Access Services; Hidden Markov Models; RFM; Latent Variable Models; Customer Value and Value Chain; Consumer Behavior
Ascarza, Eva, and Bruce G.S. Hardie. "A Joint Model of Usage and Churn in Contractual Settings." Marketing Science 32, no. 4 (July–August 2013): 570–590.
- February 2021 (Revised March 2022)
- Case
TikTok in 2020: Super App or Supernova?
By: Jeffrey F. Rayport, Dan Maher and Dan O'Brien
TikTok’s parent company, ByteDance, was launched in 2012 around a simple idea – helping users entertain themselves on their smartphones while on the Beijing Subway. In less than a decade, it had become one of the world’s most valuable private companies, with investors... View Details
Keywords: Business Model; Business Startups; Business Organization; Change Management; Disruption; Cross-Cultural and Cross-Border Issues; Global Strategy; Health Pandemics; Innovation Strategy; Growth and Development Strategy; Growth Management; Brands and Branding; Marketing Strategy; Marketing Channels; Network Effects; Digital Platforms; Product Design; Product Development; Partners and Partnerships; Opportunities; Social Issues; Mobile and Wireless Technology; Internet and the Web; Value Creation; United States; China
Rayport, Jeffrey F., Dan Maher, and Dan O'Brien. "TikTok in 2020: Super App or Supernova?" Harvard Business School Case 821-087, February 2021. (Revised March 2022.)